Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	44444
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.4 MiB
Average record size in memory	104.0 B

Variable types

Numeric	8
Categorical	5

Alerts

`imp_hash` has constant value "fbcff5951ad0c204f4744c629548c6c6"	Constant
`filename` has a high cardinality: 383 distinct values	High cardinality
`sha256` has a high cardinality: 872 distinct values	High cardinality
`sec_md5` has a high cardinality: 176 distinct values	High cardinality
`sec_name` has a high cardinality: 1495 distinct values	High cardinality
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `df_index` and 1 other fields	High correlation
`win_count` is highly correlated with `df_index` and 1 other fields	High correlation
`sec_chi2` is highly correlated with `sec_entropy`	High correlation
`sec_entropy` is highly correlated with `sec_chi2` and 1 other fields	High correlation
`raw_size` is highly correlated with `virtual_size`	High correlation
`virtual_size` is highly correlated with `raw_size`	High correlation
`virtual_address` is highly correlated with `sec_entropy`	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `df_index` and 1 other fields	High correlation
`win_count` is highly correlated with `df_index` and 1 other fields	High correlation
`sec_entropy` is highly correlated with `raw_size` and 2 other fields	High correlation
`raw_size` is highly correlated with `sec_entropy` and 1 other fields	High correlation
`virtual_size` is highly correlated with `sec_entropy` and 1 other fields	High correlation
`virtual_address` is highly correlated with `sec_entropy`	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `df_index` and 1 other fields	High correlation
`win_count` is highly correlated with `df_index` and 1 other fields	High correlation
`raw_size` is highly correlated with `virtual_size`	High correlation
`virtual_size` is highly correlated with `raw_size`	High correlation
`df_index` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `df_index` and 1 other fields	High correlation
`win_count` is highly correlated with `df_index` and 1 other fields	High correlation
`sec_chi2` is highly correlated with `raw_size` and 1 other fields	High correlation
`sec_entropy` is highly correlated with `raw_size` and 2 other fields	High correlation
`raw_size` is highly correlated with `sec_chi2` and 3 other fields	High correlation
`virtual_size` is highly correlated with `sec_chi2` and 3 other fields	High correlation
`virtual_address` is highly correlated with `sec_entropy` and 2 other fields	High correlation
`df_index` has unique values	Unique
`Unnamed: 0` has unique values	Unique
`sec_entropy` has 37863 (85.2%) zeros	Zeros

Reproduction

Analysis started	2022-09-05 02:05:35.414278
Analysis finished	2022-09-05 02:05:43.411799
Duration	8 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	44444
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2755043.742

Minimum	5245
Maximum	5555048
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	5245
5-th percentile	702247.15
Q1	1021131.75
median	2007641.5
Q3	4764338.25
95-th percentile	5057719.85
Maximum	5555048
Range	5549803
Interquartile range (IQR)	3743206.5

Descriptive statistics

Standard deviation	1751777.652
Coefficient of variation (CV)	0.6358438616
Kurtosis	-1.718630857
Mean	2755043.742
Median Absolute Deviation (MAD)	1121038
Skewness	0.1705083425
Sum	1.224451641 × 10¹¹
Variance	3.068724942 × 10¹²
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5245	1	< 0.1%
4546072	1	< 0.1%
4541475	1	< 0.1%
4541476	1	< 0.1%
4541477	1	< 0.1%
4541478	1	< 0.1%
4541479	1	< 0.1%
4546069	1	< 0.1%
4546070	1	< 0.1%
4546071	1	< 0.1%
Other values (44434)	44434	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5245	1	< 0.1%
5246	1	< 0.1%
5247	1	< 0.1%
5248	1	< 0.1%
5249	1	< 0.1%
5250	1	< 0.1%
5251	1	< 0.1%
5252	1	< 0.1%
5253	1	< 0.1%
5254	1	< 0.1%

Value	Count	Frequency (%)
5555048	1	< 0.1%
5555047	1	< 0.1%
5555046	1	< 0.1%
5555045	1	< 0.1%
5555044	1	< 0.1%
5555043	1	< 0.1%
5555042	1	< 0.1%
5555041	1	< 0.1%
5555040	1	< 0.1%
5555039	1	< 0.1%

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	44444
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2755043.742

Minimum	5245
Maximum	5555048
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	5245
5-th percentile	702247.15
Q1	1021131.75
median	2007641.5
Q3	4764338.25
95-th percentile	5057719.85
Maximum	5555048
Range	5549803
Interquartile range (IQR)	3743206.5

Descriptive statistics

Standard deviation	1751777.652
Coefficient of variation (CV)	0.6358438616
Kurtosis	-1.718630857
Mean	2755043.742
Median Absolute Deviation (MAD)	1121038
Skewness	0.1705083425
Sum	1.224451641 × 10¹¹
Variance	3.068724942 × 10¹²
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5245	1	< 0.1%
4546072	1	< 0.1%
4541475	1	< 0.1%
4541476	1	< 0.1%
4541477	1	< 0.1%
4541478	1	< 0.1%
4541479	1	< 0.1%
4546069	1	< 0.1%
4546070	1	< 0.1%
4546071	1	< 0.1%
Other values (44434)	44434	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5245	1	< 0.1%
5246	1	< 0.1%
5247	1	< 0.1%
5248	1	< 0.1%
5249	1	< 0.1%
5250	1	< 0.1%
5251	1	< 0.1%
5252	1	< 0.1%
5253	1	< 0.1%
5254	1	< 0.1%

Value	Count	Frequency (%)
5555048	1	< 0.1%
5555047	1	< 0.1%
5555046	1	< 0.1%
5555045	1	< 0.1%
5555044	1	< 0.1%
5555043	1	< 0.1%
5555042	1	< 0.1%
5555041	1	< 0.1%
5555040	1	< 0.1%
5555039	1	< 0.1%

filename
Categorical

HIGH CARDINALITY

Distinct	383
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	347.3 KiB

2022041900/2022041900_47	850
2022041900/2022041900_11	550
2022041900/2022041900_40	521
2022041900/2022041900_12	500
2022041900/2022041900_32	500
Other values (378)	41523

Length

Max length	33
Median length	24
Mean length	24.2697552
Min length	23

Characters and Unicode

Total characters	1078645
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20220329/2022032900/2022032900_10
2nd row	20220329/2022032900/2022032900_10
3rd row	20220329/2022032900/2022032900_10
4th row	20220329/2022032900/2022032900_10
5th row	20220329/2022032900/2022032900_10

Common Values

Value	Count	Frequency (%)
2022041900/2022041900_47	850	1.9%
2022041900/2022041900_11	550	1.2%
2022041900/2022041900_40	521	1.2%
2022041900/2022041900_12	500	1.1%
2022041900/2022041900_32	500	1.1%
2022041900/2022041900_56	500	1.1%
2022041900/2022041900_55	450	1.0%
2022041901/2022041901_1	450	1.0%
2022041921/2022041921_52	445	1.0%
2022041922/2022041922_1	437	1.0%
Other values (373)	39241	88.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2022041900/2022041900_47	850	1.9%
2022041900/2022041900_11	550	1.2%
2022041900/2022041900_40	521	1.2%
2022041900/2022041900_12	500	1.1%
2022041900/2022041900_32	500	1.1%
2022041900/2022041900_56	500	1.1%
2022041900/2022041900_55	450	1.0%
2022041901/2022041901_1	450	1.0%
2022041921/2022041921_52	445	1.0%
2022041922/2022041922_1	437	1.0%
Other values (373)	39241	88.3%

Most occurring characters

Value	Count	Frequency (%)
2	338022	31.3%
0	267358	24.8%
1	128205	11.9%
4	98327	9.1%
9	95988	8.9%
/	46795	4.3%
_	44444	4.1%
3	24424	2.3%
5	15230	1.4%
7	8475	0.8%
Other values (2)	11377	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	987406	91.5%
Other Punctuation	46795	4.3%
Connector Punctuation	44444	4.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	338022	34.2%
0	267358	27.1%
1	128205	13.0%
4	98327	10.0%
9	95988	9.7%
3	24424	2.5%
5	15230	1.5%
7	8475	0.9%
6	6107	0.6%
8	5270	0.5%

Other Punctuation

Value	Count	Frequency (%)
/	46795	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	44444	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1078645	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	338022	31.3%
0	267358	24.8%
1	128205	11.9%
4	98327	9.1%
9	95988	8.9%
/	46795	4.3%
_	44444	4.1%
3	24424	2.3%
5	15230	1.4%
7	8475	0.8%
Other values (2)	11377	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1078645	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	338022	31.3%
0	267358	24.8%
1	128205	11.9%
4	98327	9.1%
9	95988	8.9%
/	46795	4.3%
_	44444	4.1%
3	24424	2.3%
5	15230	1.4%
7	8475	0.8%
Other values (2)	11377	1.1%

win_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	917
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	303154.1374

Minimum	991
Maximum	591567
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	991
5-th percentile	97004
Q1	179444
median	279558
Q3	453279
95-th percentile	499902
Maximum	591567
Range	590576
Interquartile range (IQR)	273835

Descriptive statistics

Standard deviation	141769.3064
Coefficient of variation (CV)	0.4676476054
Kurtosis	-1.270612918
Mean	303154.1374
Median Absolute Deviation (MAD)	110089
Skewness	-0.01351828215
Sum	1.347338248 × 10¹⁰
Variance	2.009853624 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
379482	50	0.1%
297959	50	0.1%
255606	50	0.1%
268503	50	0.1%
268519	50	0.1%
269540	50	0.1%
269552	50	0.1%
269969	50	0.1%
278964	50	0.1%
279072	50	0.1%
Other values (907)	43944	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
991	20	< 0.1%
1608	48	0.1%
2018	50	0.1%
2218	50	0.1%
3896	50	0.1%
4222	50	0.1%
4232	50	0.1%
5000	50	0.1%
5268	50	0.1%
5481	50	0.1%

Value	Count	Frequency (%)
591567	50	0.1%
587420	48	0.1%
575750	50	0.1%
543451	50	0.1%
537175	50	0.1%
528031	50	0.1%
525450	45	0.1%
524104	33	0.1%
519105	50	0.1%
518853	50	0.1%

sha256
Categorical

HIGH CARDINALITY

Distinct	872
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	347.3 KiB

0ad188c147c18398d5ee2e54be5ce6a3c196ed247a352851e22e51d3a9d92c7a	150
b2fe2aa2a8809247417e0f33c35e0c808682ad46b5f6488987787c6c0052fd87	100
b12699ae963bb426fbdcf4b69f08caec6c32213bf6a1a7b9201c08f908c32471	100
3db5f4cc1671c074697105754869e2ee80a830de3b41a6a5364415850d98ab87	100
79ef584a41008e2a42b6c48fa4a95eed727a0aa6a932d9dbf0f0d29f5c509c0b	100
Other values (867)	43894

Length

Max length	64
Median length	64
Mean length	64
Min length	64

Characters and Unicode

Total characters	2844416
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9
2nd row	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9
3rd row	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9
4th row	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9
5th row	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9

Common Values

Value	Count	Frequency (%)
0ad188c147c18398d5ee2e54be5ce6a3c196ed247a352851e22e51d3a9d92c7a	150	0.3%
b2fe2aa2a8809247417e0f33c35e0c808682ad46b5f6488987787c6c0052fd87	100	0.2%
b12699ae963bb426fbdcf4b69f08caec6c32213bf6a1a7b9201c08f908c32471	100	0.2%
3db5f4cc1671c074697105754869e2ee80a830de3b41a6a5364415850d98ab87	100	0.2%
79ef584a41008e2a42b6c48fa4a95eed727a0aa6a932d9dbf0f0d29f5c509c0b	100	0.2%
11e6868502b491a93475f42a8f5f3bf1cfd635820df750530618cf1849f1307d	100	0.2%
7f6a104a98d7400c2adf22aa5407ac7a8854342ca1ba34512b8890c5a4201ad1	100	0.2%
1fccb0fd26e47b82cb0522a39873711ea023e2dbf66e3c6e0435d267454485e7	100	0.2%
d0e155e69192557cb2aa2095d814fa80cbfb1ce82a75ef611257f464ec771768	100	0.2%
7684f8426a58c1f902e13e25c68b89a3f06a5418370a3f2aae2ba3cc3f62ebae	100	0.2%
Other values (862)	43394	97.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0ad188c147c18398d5ee2e54be5ce6a3c196ed247a352851e22e51d3a9d92c7a	150	0.3%
27a3dd3765f237db5971b5d1a599ade0f2aafd20691bd0bb89b5d28e0009ab5a	100	0.2%
a80c2a2705371649dfcc32469b8fd69004a28d14847c7cbc2e294a38bdb5499d	100	0.2%
312e6afc01e161f899ef512391d4286d0dbfdd792b237cc9323de7bbf28a08c9	100	0.2%
ea2c57449ea90302b27b94e28702e8e6710196ab461c630e92c3c715930bde82	100	0.2%
41422355eb3048b27e36b590dcd690ba74b5e776099e9abdcdb56c6a665877c4	100	0.2%
a0127c5d5f8788e78fbf73149e2b529bf2e7600010f51dd7b502e4228b4f6765	100	0.2%
15ef164c73d7770d6b96adf1a1cd8274dd3b53f26bb7fb10aee4f3a8b02fc264	100	0.2%
7421988e586066bc9539e680a9622d4d084bbd71182eb32f24af29c2659cd374	100	0.2%
152b4f077b594ad4fb17282643b4a30e91e41b98f19e4fde047877e5a9dda473	100	0.2%
Other values (862)	43394	97.6%

Most occurring characters

Value	Count	Frequency (%)
2	186358	6.6%
9	183320	6.4%
f	180164	6.3%
3	180065	6.3%
0	179588	6.3%
8	178593	6.3%
5	178294	6.3%
a	177140	6.2%
6	176776	6.2%
d	176279	6.2%
Other values (6)	1047839	36.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1785270	62.8%
Lowercase Letter	1059146	37.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	186358	10.4%
9	183320	10.3%
3	180065	10.1%
0	179588	10.1%
8	178593	10.0%
5	178294	10.0%
6	176776	9.9%
7	175823	9.8%
4	174795	9.8%
1	171658	9.6%

Lowercase Letter

Value	Count	Frequency (%)
f	180164	17.0%
a	177140	16.7%
d	176279	16.6%
e	175707	16.6%
c	175081	16.5%
b	174775	16.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1785270	62.8%
Latin	1059146	37.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	186358	10.4%
9	183320	10.3%
3	180065	10.1%
0	179588	10.1%
8	178593	10.0%
5	178294	10.0%
6	176776	9.9%
7	175823	9.8%
4	174795	9.8%
1	171658	9.6%

Latin

Value	Count	Frequency (%)
f	180164	17.0%
a	177140	16.7%
d	176279	16.6%
e	175707	16.6%
c	175081	16.5%
b	174775	16.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2844416	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	186358	6.6%
9	183320	6.4%
f	180164	6.3%
3	180065	6.3%
0	179588	6.3%
8	178593	6.3%
5	178294	6.3%
a	177140	6.2%
6	176776	6.2%
d	176279	6.2%
Other values (6)	1047839	36.8%

imp_hash
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	347.3 KiB

fbcff5951ad0c204f4744c629548c6c6	44444

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	1422208
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	fbcff5951ad0c204f4744c629548c6c6
2nd row	fbcff5951ad0c204f4744c629548c6c6
3rd row	fbcff5951ad0c204f4744c629548c6c6
4th row	fbcff5951ad0c204f4744c629548c6c6
5th row	fbcff5951ad0c204f4744c629548c6c6

Common Values

Value	Count	Frequency (%)
fbcff5951ad0c204f4744c629548c6c6	44444	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fbcff5951ad0c204f4744c629548c6c6	44444	100.0%

Most occurring characters

Value	Count	Frequency (%)
c	222220	15.6%
4	222220	15.6%
f	177776	12.5%
5	133332	9.4%
6	133332	9.4%
9	88888	6.2%
0	88888	6.2%
2	88888	6.2%
b	44444	3.1%
1	44444	3.1%
Other values (4)	177776	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	888880	62.5%
Lowercase Letter	533328	37.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	222220	25.0%
5	133332	15.0%
6	133332	15.0%
9	88888	10.0%
0	88888	10.0%
2	88888	10.0%
1	44444	5.0%
7	44444	5.0%
8	44444	5.0%

Lowercase Letter

Value	Count	Frequency (%)
c	222220	41.7%
f	177776	33.3%
b	44444	8.3%
a	44444	8.3%
d	44444	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	888880	62.5%
Latin	533328	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	222220	25.0%
5	133332	15.0%
6	133332	15.0%
9	88888	10.0%
0	88888	10.0%
2	88888	10.0%
1	44444	5.0%
7	44444	5.0%
8	44444	5.0%

Latin

Value	Count	Frequency (%)
c	222220	41.7%
f	177776	33.3%
b	44444	8.3%
a	44444	8.3%
d	44444	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1422208	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	222220	15.6%
4	222220	15.6%
f	177776	12.5%
5	133332	9.4%
6	133332	9.4%
9	88888	6.2%
0	88888	6.2%
2	88888	6.2%
b	44444	3.1%
1	44444	3.1%
Other values (4)	177776	12.5%

sec_chi2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	175
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2203016.473

Minimum	57874.69
Maximum	73113600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	57874.69
5-th percentile	358466.16
Q1	1044480
median	1044480
Q3	2088960
95-th percentile	7311360
Maximum	73113600
Range	73055725.31
Interquartile range (IQR)	1044480

Descriptive statistics

Standard deviation	6622403.846
Coefficient of variation (CV)	3.006061882
Kurtosis	103.8191048
Mean	2203016.473
Median Absolute Deviation (MAD)	0
Skewness	9.999100205
Sum	9.791086414 × 10¹⁰
Variance	4.385623269 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1044480	26991	60.7%
2088960	7405	16.7%
7311360	3106	7.0%
358466.16	917	2.1%
2262192.25	917	2.1%
962731.13	917	2.1%
66544.3	917	2.1%
842616.38	917	2.1%
57874.69	917	2.1%
951366.5	565	1.3%
Other values (165)	875	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
57874.69	917	2.1%
66544.3	917	2.1%
105580.31	1	< 0.1%
106287.13	1	< 0.1%
109876.63	1	< 0.1%
109919.63	1	< 0.1%
113882.25	1	< 0.1%
113937.75	1	< 0.1%
114061.88	1	< 0.1%
114343.63	1	< 0.1%

Value	Count	Frequency (%)
73113600	361	0.8%
7311360	3106	7.0%
2262192.25	917	2.1%
2248354	1	< 0.1%
2248330.5	1	< 0.1%
2248190.5	1	< 0.1%
2247969.5	1	< 0.1%
2246972.5	1	< 0.1%
2088960	7405	16.7%
2063693.38	1	< 0.1%

sec_entropy
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	102
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6538920889

Minimum	0
Maximum	7.84
Zeros	37863
Zeros (%)	85.2%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	6.12
Maximum	7.84
Range	7.84
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.890411814
Coefficient of variation (CV)	2.891014964
Kurtosis	6.921051665
Mean	0.6538920889
Median Absolute Deviation (MAD)	0
Skewness	2.892108035
Sum	29061.58
Variance	3.573656827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37863	85.2%
6.12	917	2.1%
7.38	917	2.1%
0.48	917	2.1%
7.84	917	2.1%
1.04	917	2.1%
5.33	917	2.1%
2.97	565	1.3%
2.98	346	0.8%
0.96	7	< 0.1%
Other values (92)	161	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37863	85.2%
0.23	1	< 0.1%
0.32	1	< 0.1%
0.33	2	< 0.1%
0.48	917	2.1%
0.52	1	< 0.1%
0.53	1	< 0.1%
0.63	2	< 0.1%
0.64	1	< 0.1%
0.86	6	< 0.1%

Value	Count	Frequency (%)
7.84	917	2.1%
7.38	917	2.1%
6.12	917	2.1%
5.69	5	< 0.1%
5.66	2	< 0.1%
5.43	1	< 0.1%
5.4	1	< 0.1%
5.33	917	2.1%
5.29	1	< 0.1%
5.28	3	< 0.1%

sec_md5
Categorical

HIGH CARDINALITY

Distinct	176
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	347.3 KiB

620f0b67a91f7f74151bc5be745b7110	26991
0829f71740aab1ab98b33eae21dee122	7405
cf845a781c107ec1346e849c9dd1b7e8	3106
a43aef6b6f939e7959b81ec2e8806ecb	917
41432e60924ed4a91548fe43265fa3d1	917
Other values (171)	5108

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	1422208
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	0.4%

Sample

1st row	a43aef6b6f939e7959b81ec2e8806ecb
2nd row	8d17b27fb2e22ce52dc7953821236946
3rd row	41432e60924ed4a91548fe43265fa3d1
4th row	ee4f14b17ad059c6b83e4503a65b81f5
5th row	c694e1149d43f57e80047a0bc754f9d3

Common Values

Value	Count	Frequency (%)
620f0b67a91f7f74151bc5be745b7110	26991	60.7%
0829f71740aab1ab98b33eae21dee122	7405	16.7%
cf845a781c107ec1346e849c9dd1b7e8	3106	7.0%
a43aef6b6f939e7959b81ec2e8806ecb	917	2.1%
41432e60924ed4a91548fe43265fa3d1	917	2.1%
ee4f14b17ad059c6b83e4503a65b81f5	917	2.1%
c694e1149d43f57e80047a0bc754f9d3	917	2.1%
a12e0f6f3ca72d1748b5dbba51b45e19	917	2.1%
cf4f5746abe0554542e6173fc6438b6c	917	2.1%
8d17b27fb2e22ce52dc7953821236946	565	1.3%
Other values (166)	875	2.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
620f0b67a91f7f74151bc5be745b7110	26991	60.7%
0829f71740aab1ab98b33eae21dee122	7405	16.7%
cf845a781c107ec1346e849c9dd1b7e8	3106	7.0%
a43aef6b6f939e7959b81ec2e8806ecb	917	2.1%
41432e60924ed4a91548fe43265fa3d1	917	2.1%
ee4f14b17ad059c6b83e4503a65b81f5	917	2.1%
c694e1149d43f57e80047a0bc754f9d3	917	2.1%
a12e0f6f3ca72d1748b5dbba51b45e19	917	2.1%
cf4f5746abe0554542e6173fc6438b6c	917	2.1%
8d17b27fb2e22ce52dc7953821236946	565	1.3%
Other values (166)	875	2.0%

Most occurring characters

Value	Count	Frequency (%)
1	191689	13.5%
7	171519	12.1%
b	147761	10.4%
0	109599	7.7%
f	105021	7.4%
5	102310	7.2%
4	94223	6.6%
e	84046	5.9%
a	72273	5.1%
6	71850	5.1%
Other values (6)	271917	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	940017	66.1%
Lowercase Letter	482191	33.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	191689	20.4%
7	171519	18.2%
0	109599	11.7%
5	102310	10.9%
4	94223	10.0%
6	71850	7.6%
2	68366	7.3%
9	61006	6.5%
8	38008	4.0%
3	31447	3.3%

Lowercase Letter

Value	Count	Frequency (%)
b	147761	30.6%
f	105021	21.8%
e	84046	17.4%
a	72273	15.0%
c	50189	10.4%
d	22901	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	940017	66.1%
Latin	482191	33.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	191689	20.4%
7	171519	18.2%
0	109599	11.7%
5	102310	10.9%
4	94223	10.0%
6	71850	7.6%
2	68366	7.3%
9	61006	6.5%
8	38008	4.0%
3	31447	3.3%

Latin

Value	Count	Frequency (%)
b	147761	30.6%
f	105021	21.8%
e	84046	17.4%
a	72273	15.0%
c	50189	10.4%
d	22901	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1422208	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	191689	13.5%
7	171519	12.1%
b	147761	10.4%
0	109599	7.7%
f	105021	7.4%
5	102310	7.2%
4	94223	6.6%
e	84046	5.9%
a	72273	5.1%
6	71850	5.1%
Other values (6)	271917	19.1%

raw_size
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24557.47565

Minimum	4096
Maximum	507904
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	4096
5-th percentile	4096
Q1	4096
median	4096
Q3	8192
95-th percentile	32768
Maximum	507904
Range	503808
Interquartile range (IQR)	4096

Descriptive statistics

Standard deviation	80934.54156
Coefficient of variation (CV)	3.2957191
Kurtosis	24.94119374
Mean	24557.47565
Median Absolute Deviation (MAD)	0
Skewness	4.978015168
Sum	1091432448
Variance	6550400017
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4096	28940	65.1%
8192	9275	20.9%
28672	3110	7.0%
32768	917	2.1%
507904	917	2.1%
225280	917	2.1%
286720	366	0.8%
212992	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4096	28940	65.1%
8192	9275	20.9%
28672	3110	7.0%
32768	917	2.1%
212992	2	< 0.1%
225280	917	2.1%
286720	366	0.8%
507904	917	2.1%

Value	Count	Frequency (%)
507904	917	2.1%
286720	366	0.8%
225280	917	2.1%
212992	2	< 0.1%
32768	917	2.1%
28672	3110	7.0%
8192	9275	20.9%
4096	28940	65.1%

virtual_size
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	74
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22068.3459

Minimum	132
Maximum	504779
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	132
5-th percentile	336
Q1	877
median	2302
Q3	4751
95-th percentile	32686
Maximum	504779
Range	504647
Interquartile range (IQR)	3874

Descriptive statistics

Standard deviation	80911.62619
Coefficient of variation (CV)	3.666411002
Kurtosis	24.82677084
Mean	22068.3459
Median Absolute Deviation (MAD)	1731
Skewness	4.963146834
Sum	980805565
Variance	6546691253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
571	4207	9.5%
27856	3110	7.0%
1846	3067	6.9%
2302	2537	5.7%
4751	2151	4.8%
4388	2040	4.6%
3038	1943	4.4%
431	1800	4.1%
954	1684	3.8%
4728	1565	3.5%
Other values (64)	20340	45.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
132	421	0.9%
180	231	0.5%
249	64	0.1%
262	17	< 0.1%
268	48	0.1%
311	826	1.9%
318	597	1.3%
336	917	2.1%
364	5	< 0.1%
431	1800	4.1%

Value	Count	Frequency (%)
504779	917	2.1%
282996	366	0.8%
223348	917	2.1%
210737	2	< 0.1%
32686	917	2.1%
27856	3110	7.0%
8150	1	< 0.1%
8130	96	0.2%
8104	684	1.5%
8097	18	< 0.1%

virtual_address
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	166
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	917060.5216

Minimum	4096
Maximum	1847296
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	347.3 KiB

Quantile statistics

Minimum	4096
5-th percentile	45056
Q1	819200
median	962560
Q3	1073152
95-th percentile	1277952
Maximum	1847296
Range	1843200
Interquartile range (IQR)	253952

Descriptive statistics

Standard deviation	283631.6676
Coefficient of variation (CV)	0.3092834779
Kurtosis	3.461868248
Mean	917060.5216
Median Absolute Deviation (MAD)	126976
Skewness	-1.691877275
Sum	4.075783782 × 10¹⁰
Variance	8.044692286 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4096	917	2.1%
782336	917	2.1%
798720	917	2.1%
794624	917	2.1%
786432	917	2.1%
36864	917	2.1%
557056	917	2.1%
552960	917	2.1%
45056	917	2.1%
802816	898	2.0%
Other values (156)	35293	79.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4096	917	2.1%
36864	917	2.1%
45056	917	2.1%
552960	917	2.1%
557056	917	2.1%
782336	917	2.1%
786432	917	2.1%
794624	917	2.1%
798720	917	2.1%
802816	898	2.0%

Value	Count	Frequency (%)
1847296	1	< 0.1%
1630208	1	< 0.1%
1613824	1	< 0.1%
1609728	1	< 0.1%
1605632	1	< 0.1%
1601536	3	< 0.1%
1597440	2	< 0.1%
1589248	1	< 0.1%
1568768	1	< 0.1%
1560576	2	< 0.1%

sec_name
Categorical

HIGH CARDINALITY

Distinct	1495
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	347.3 KiB

.text	917
.data	917
.pdata	917
.EXP	917
.rsrc	917
Other values (1490)	39859

Length

Max length	7
Median length	6
Mean length	5.500607506
Min length	4

Characters and Unicode

Total characters	244469
Distinct characters	30
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	559 ?
Unique (%)	1.3%

Sample

1st row	.text
2nd row	.rdata
3rd row	.data
4th row	.pdata
5th row	.EXP

Common Values

Value	Count	Frequency (%)
.text	917	2.1%
.data	917	2.1%
.pdata	917	2.1%
.EXP	917	2.1%
.rsrc	917	2.1%
.reloc	917	2.1%
.tbrtao	917	2.1%
.rdata	917	2.1%
.jubcj	548	1.2%
.lrvm	499	1.1%
Other values (1485)	36061	81.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
text	917	2.1%
reloc	917	2.1%
rdata	917	2.1%
tbrtao	917	2.1%
data	917	2.1%
rsrc	917	2.1%
pdata	917	2.1%
exp	917	2.1%
jubcj	548	1.2%
lrvm	499	1.1%
Other values (1485)	36061	81.1%

Most occurring characters

Value	Count	Frequency (%)
.	44444	18.2%
r	14056	5.7%
t	12595	5.2%
a	12308	5.0%
d	9597	3.9%
c	9291	3.8%
e	9245	3.8%
x	8819	3.6%
k	8584	3.5%
p	8353	3.4%
Other values (20)	107177	43.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	197274	80.7%
Other Punctuation	44444	18.2%
Uppercase Letter	2751	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	14056	7.1%
t	12595	6.4%
a	12308	6.2%
d	9597	4.9%
c	9291	4.7%
e	9245	4.7%
x	8819	4.5%
k	8584	4.4%
p	8353	4.2%
f	7814	4.0%
Other values (16)	96612	49.0%

Uppercase Letter

Value	Count	Frequency (%)
P	917	33.3%
X	917	33.3%
E	917	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	44444	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	200025	81.8%
Common	44444	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	14056	7.0%
t	12595	6.3%
a	12308	6.2%
d	9597	4.8%
c	9291	4.6%
e	9245	4.6%
x	8819	4.4%
k	8584	4.3%
p	8353	4.2%
f	7814	3.9%
Other values (19)	99363	49.7%

Common

Value	Count	Frequency (%)
.	44444	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	244469	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	44444	18.2%
r	14056	5.7%
t	12595	5.2%
a	12308	5.0%
d	9597	3.9%
c	9291	3.8%
e	9245	3.8%
x	8819	3.6%
k	8584	3.5%
p	8353	3.4%
Other values (20)	107177	43.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	Unnamed: 0	filename	win_count	sha256	imp_hash	sec_chi2	sec_entropy	sec_md5	raw_size	virtual_size	virtual_address	sec_name
0	5245	5245	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	358466.16	6.12	a43aef6b6f939e7959b81ec2e8806ecb	32768	32686	4096	.text
1	5246	5246	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	951366.50	2.97	8d17b27fb2e22ce52dc7953821236946	8192	7802	36864	.rdata
2	5247	5247	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	2262192.25	7.38	41432e60924ed4a91548fe43265fa3d1	507904	504779	45056	.data
3	5248	5248	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	962731.13	0.48	ee4f14b17ad059c6b83e4503a65b81f5	4096	336	552960	.pdata
4	5249	5249	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	66544.30	7.84	c694e1149d43f57e80047a0bc754f9d3	225280	223348	557056	.EXP
5	5250	5250	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	842616.38	1.04	a12e0f6f3ca72d1748b5dbba51b45e19	4096	976	782336	.rsrc
6	5251	5251	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	57874.69	5.33	cf4f5746abe0554542e6173fc6438b6c	8192	8061	786432	.reloc
7	5252	5252	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	1044480.00	0.00	620f0b67a91f7f74151bc5be745b7110	4096	2509	794624	.tbrtao
8	5253	5253	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	1044480.00	0.00	620f0b67a91f7f74151bc5be745b7110	4096	571	798720	.jubcj
9	5254	5254	20220329/2022032900/2022032900_10	991	3edfa8cca59d7e464270ef3b24bbefbc811cf305f4e80dbff061ec4ad7c18ea9	fbcff5951ad0c204f4744c629548c6c6	1044480.00	0.00	620f0b67a91f7f74151bc5be745b7110	4096	2302	802816	.ipo

Last rows

	df_index	Unnamed: 0	filename	win_count	sha256	imp_hash	sec_chi2	sec_md5	raw_size	virtual_size	virtual_address	sec_name
44434	5555039	5555039	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	311	1077248	.gzlcc
44435	5555040	5555040	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	431	1081344	.ubgnm
44436	5555041	5555041	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	431	1085440	.pdvbd
44437	5555042	5555042	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	2302	1089536	.nkh
44438	5555043	5555043	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	905	1093632	.cftn
44439	5555044	5555044	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	877	1097728	.fmkp
44440	5555045	5555045	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	2088960.0	0829f71740aab1ab98b33eae21dee122	8192	4388	1101824	.zqdwjh
44441	5555046	5555046	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	2088960.0	0829f71740aab1ab98b33eae21dee122	8192	7782	1110016	.chon
44442	5555047	5555047	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	2088960.0	0829f71740aab1ab98b33eae21dee122	8192	4751	1118208	.nin
44443	5555048	5555048	2022042101/2022042101_20	591567	0ecb88ad96e344604989c800d404f6253f26875fbe1c557e87cd58637f1a388b	fbcff5951ad0c204f4744c629548c6c6	1044480.0	620f0b67a91f7f74151bc5be745b7110	4096	730	1126400	.rulqdd

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)